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  • Produktbild: Computer Vision – ECCV 2024
  • Produktbild: Computer Vision – ECCV 2024
Band 15093

Computer Vision – ECCV 2024 18th European Conference, Milan, Italy, September 29 – October 4, 2024, Proceedings, Part XXXV

Aus der Reihe Lecture Notes in Computer Science

Fr. 112.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024.

The 2387 papers presented in these proceedings were carefully reviewed...

Beschreibung

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024.


The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

30.09.2024
Abbildungen

LXXXV, 478 p. 136 illus., 133 illus. in color.
Herausgeber Aleš Leonardis + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

30.09.2024
Abbildungen

LXXXV, 478 p. 136 illus., 133 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

478
Maße (L/B/H)

23.5/15.5/3.1 cm
Gewicht

844 g
Sprache

Englisch
ISBN

978-3-031-72760-3
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Computer Vision – ECCV 2024
  • Produktbild: Computer Vision – ECCV 2024

  • Visual Prompting via Partial Optimal Transport.- Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model.- Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation.- AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection.- Pathformer3D: A 3D Scanpath Transformer for 360° Images.- TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection.- SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection.- 3D Gaussian Parametric Head Model.- RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields.- Platypus: A Generalized Specialist Model for Reading Text in Various Forms.- Structured-NeRF: Hierarchical Scene Graph with Neural Representation.- EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation.- Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography.- PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving.- Test-Time Stain Adaptation with Diffusion Models for Histopathology Image Classification.- Beyond MOT: Semantic Multi-Object Tracking.- Temporal Event Stereo via Joint Learning with Stereoscopic Flow.- SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection.- Just a Hint: Point-Supervised Camouflaged Object Detection.- ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation.- Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection.- Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection.- View-Consistent 3D Editing with Gaussian Splatting.- E3V-K5: An Authentic Benchmark for Redefining Video-Based Energy Expenditure Estimation.- GeoGaussian: Geometry-aware Gaussian Splatting for Scene Rendering.- URS-NeRF: Unordered  Rolling  Shutter Bundle Adjustment  for Neural Radiance Fields.